US7546906B2 - Elevator system - Google Patents

Elevator system Download PDF

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Publication number
US7546906B2
US7546906B2 US12/216,314 US21631408A US7546906B2 US 7546906 B2 US7546906 B2 US 7546906B2 US 21631408 A US21631408 A US 21631408A US 7546906 B2 US7546906 B2 US 7546906B2
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elevator
chromosome
elevators
run
cost function
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US20080296099A1 (en
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Tapio Tyni
Jari Ylinen
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Kone Corp
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Kone Corp
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/02—Control systems without regulation, i.e. without retroactive action
    • B66B1/06—Control systems without regulation, i.e. without retroactive action electric
    • B66B1/14—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements
    • B66B1/18—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements with means for storing pulses controlling the movements of several cars or cages
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/2408—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller
    • B66B1/2458—For elevator systems with multiple shafts and a single car per shaft
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/10—Details with respect to the type of call input
    • B66B2201/102—Up or down call input
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/10—Details with respect to the type of call input
    • B66B2201/103—Destination call input before entering the elevator car
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
    • B66B2201/211—Waiting time, i.e. response time
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
    • B66B2201/212—Travel time
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
    • B66B2201/214—Total time, i.e. arrival time
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
    • B66B2201/216—Energy consumption
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
    • B66B2201/222—Taking into account the number of passengers present in the elevator car to be allocated
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/30—Details of the elevator system configuration
    • B66B2201/306—Multi-deck elevator cars
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00—Aspects of control systems of elevators
    • B66B2201/40—Details of the change of control mode
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies

Definitions

  • the invention relates to the control of an elevator group.
  • the subject of the invention is a method and an appliance for controlling an elevator group by allocating landing calls taking into account especially the potential energy and the kinetic energy of the elevators.
  • the term ‘elevator’ refers here to the sum of the moving masses moved in a single elevator shaft irrespective of whether one, two or more elevator cars are disposed in the elevator shaft.
  • the cars are fixed to each other one on top of the other such that the cars simultaneously serve floors that are one above the other.
  • one basic function of elevator group control is the allocation of landing calls.
  • the objective of allocation is to give calls to be served by the elevator cars in such a way that a performance indicator describing the elevator system is as good as possible.
  • the most commonly used performance indicators relate to call times and passenger waiting times. Typically averages are calculated from these times and their distributions are established.
  • the targets for monitoring are typically landing calls, car calls, the loads of the elevators and the states of motion of the elevators. At peak hours the aim can be giving priority to minimizing the travel time of a user of the elevator.
  • Numerous targets for optimization can be found such as the call time, the estimated waiting time of the passengers, run time and travel time, the number of stops, the car load, the number of simultaneous car calls and landing calls, etc. What must be decided is which of these targets should be given priority and how much priority in which traffic situations.
  • the international patent application WO 02/066356 presents a control method for an elevator system, in which the energy consumed by the elevator system is minimized such that the desired requirement of the service time of elevator passengers is fulfilled on average.
  • a target value is given for a certain service time of an elevator group and landing calls are allocated to different elevators such that over a longer time span the condition of the service time examined is fulfilled, but at the same time the energy consumption of the system is at its minimum.
  • the call time from the giving of the call to the arrival of the elevator the total travel time or the run time examining only the time spent in the elevator car can be used as a service time.
  • Publication FI 115130 also relates to the controlling of an elevator group.
  • this method it is also possible to set a desired target value for a certain service time, such as for the average waiting time of passengers.
  • the aim is to minimize energy consumption such that an available model of the elevator system is utilized in the optimization.
  • the desired service time can be forecast.
  • the system also includes a PID regulator that utilizes the forecast service times and thus the cost function can be optimized more effectively. Numerous route alternatives according to smaller energy consumption are obtained from the optimizer, from which the solution according to the target value of the desired service time is selected.
  • a common denominator for the above-described prior-art solutions is that the routes of the elevator cars are defined so that the change in potential energy of the system caused by transferring the passengers in the height direction is minimized.
  • the system includes all the mass points that move in the vertical direction, in other words the elevator car with counterweight and the passengers of the elevators.
  • the purpose of the present invention is to disclose an allocation method for elevator cars, in which the energy consumed by the system is minimized taking into account both the potential energy and the kinetic energy prevailing in the elevator system.
  • the method according to the invention is characterized by what is disclosed in the characterization part of claim 1 .
  • the control system according to the invention is characterized by what is disclosed in the characterization part of claim 11 .
  • the computer program according to the invention is characterized by what is disclosed in the characterization part of claim 21 .
  • Other embodiments of the invention are characterized by what is disclosed in the other claims.
  • Some inventive embodiments are also presented in the drawings in the descriptive section of the present application.
  • the inventive content of the application can also be defined differently than in the claims presented below.
  • the inventive content may also consist of several separate inventions, especially if the invention is considered in the light of expressions or implicit sub-tasks or from the point of view of advantages or categories of advantages achieved. In this case, some of the attributes contained in the claims below may be superfluous from the point of view of separate inventive concepts.
  • the features of the various embodiments can be applied within the scope of the basic inventive concept in conjunction with other embodiments.
  • the present invention discloses a method for controlling the elevators belonging to an elevator group based on the calls given, in which the elevator comprises one or more elevator cars disposed in the same elevator shaft and in the method a genetic algorithm is used.
  • a genetic algorithm at least one allocation option, i.e. chromosome, is formed in which the chromosome contains call data and elevator data for each active landing call or destination call, and this data, i.e. genes, together determine the elevator car that serves each landing call or destination call.
  • the value of the cost function for each chromosome is determined. After this at least one chromosome is formulated with respect to at least one gene. After this the value of the cost function for each formulated chromosome is determined.
  • a characteristic of the present invention is that in the method information about the run type, i.e. the run type gene, in which the run type determines the speed profile, is linked to the chromosome in connection with each call data call and each elevator data, according to which the elevator that owns the elevator car travels between the departure floor and the call issuing floor defined by the call gene linked to the run type gene.
  • the kinetic energies of the elevators on each elevator trip are determined.
  • the total energy consumed by the elevator system is selected as the cost function or part thereof such that the term applying to the kinetic energy of the elevators is included in the cost function.
  • Finding the global minimum value of the total energy consumption of the elevator system is selected as the end criterion.
  • chromosomes are formulated as the next generation of the genetic algorithm by selection, by crossover and/or by mutation.
  • the end criterion is fulfilled when the pre-determined value of the cost function, the number of generations, the processing time of the algorithm or adequate homogeneity of the population is achieved.
  • Homogeneity in this context means a situation in which when forming the successive generations of the genetic algorithm the same chromosomes are passed on from one generation to the next.
  • the cost function of the chromosome is defined such that it includes an energy consumption term and a service time term, weighting both with pre-set weighting coefficients.
  • the models of the elevators and the current status of the elevator system can be used as an aid in the calculation of the cost function.
  • At least one of a set of terms which includes the energy consumption of the elevator system, the waiting time of a passenger, the travel time of a passenger, and the run time of a passenger, is selected as the term of the cost function. Additionally the kinetic energy of the elevators, the potential energy stored in the elevators, the energy consumed by friction and other losses, as well as the energy regenerated to the power input system, are taken into account when calculating the energy consumption.
  • At least one restriction from a set of magnitudes is defined for the speed profile of each elevator run according to the run type, which magnitudes include the maximum speed, the maximum acceleration and the maximum jerk of the elevator, and in which jerk is defined as a change in acceleration per unit of time.
  • a direction gene for the chromosome is defined for each stationary elevator.
  • the run types are defined as “normal”, “slightly decelerated”, “clearly decelerated”, “slightly accelerated” and “clearly accelerated”.
  • the run types are defined by setting the maximum speeds used by the elevators such that the run type “normal” means the nominal travel speed of the elevator and with the other run types the travel speed of the elevator deviates from the nominal value in percentage terms by the amount of the pre-set value.
  • inventive concept of the present invention in addition to the method also includes a similar control system for an elevator system, in which the aforementioned phases of the method are performed by a GA optimizer.
  • the inventive concept of the present invention further includes a computer program, which when run is defined to perform the different phases of the method described above.
  • both the potential energy linked to the mass points of the system and the kinetic energy linked to the moving and rotating parts can be taken into account.
  • the losses caused by friction can still be examined.
  • a substantial advantage of the present invention is thus the inclusion of kinetic energy in the optimization evaluation, whereas prior art techniques instead take only the potential energies and friction losses into account.
  • the GA optimizer can use more route alternatives in which the energy consumption remains low. Because the kinetic energy is dependent on the square of the speed, with a relatively small change of the car speed the kinetic energy prevailing in the system can be substantially influenced and thus via this the energy economy of the whole system. For example with a variation of ⁇ 20 percent in the top speed of the car a range of variation ⁇ 36% . . . +44% in the kinetic energy of the car is obtained.
  • FIG. 1 presents a method of routing elevator cars according to the present invention, in which so-called genetic algorithms are utilized, and
  • FIG. 2 presents the structure of a chromosome of a genetic algorithm according to the present invention.
  • the present invention discloses a method for allocating elevator cars based on the active calls, utilizing prior art genetic algorithms and a novel structure of chromosome according to the present invention.
  • the basic concept of the present invention is to include in the examination the kinetic energy linked to the masses and to the speeds of the system in addition to the potential energy.
  • an individual elevator in use comprises three mass components, namely the empty elevator car, the counterweight of the elevator and the passengers inside the elevator car. If the passenger capacity of the elevator car is CC (in kilograms), then in this case the counterweight can be dimensioned so that:
  • the mechanical energy consumed and that part returned to the use of the system in the run of the elevator from one floor to another, is determined via the potential energy, the kinetic energy and the energy losses, if the losses are caused by friction occurring in the system:
  • ⁇ h is the distance between the departure floors and the arrival floors
  • m p is the internal load of the car
  • m s is the effective inertial mass of all the masses moving linearly and rotationally
  • ⁇ circumflex over ( ⁇ ) ⁇ is the largest speed attainable during the run.
  • F ⁇ is the total effective frictional force exerted on all the moving parts and on the traction equipment of the car.
  • Modern elevator machines are able to return the potential energy and the kinetic energy of the system back to the power source at some co-efficient of efficiency R , in which: 0 ⁇ R ⁇ 1 (5)
  • the motion of the elevator car is controlled in the control system, which in modern elevators operates by means of a closed feedback loop.
  • the purpose of this is to control the elevator car so that the motion of the elevator car is pleasantly even, in other words the car does not jerk i.e. in which case da/dt (the change in acceleration in a time unit) remains in practice at zero or very small.
  • da/dt the change in acceleration in a time unit
  • the energy needed on the elevator trip is taken from the power source and energy is consumed in electrical and mechanical losses. Energy is stored when the elevator car(s) move(s) in the form of kinetic energy of the elevator forming the combined kinetic energy of the elevator cars and the kinetic energy of other moving masses, such as the counterweight, contained in one elevator.
  • E PSP E P ⁇ M ⁇ 1
  • E PSP E P ⁇ R
  • the most interesting energy forms prevailing in the elevator system are potential energy and kinetic energy.
  • the control system of the elevators is able to influence the parameters relating to the run, of which the most essential are the speed, acceleration and so-called jerk (previously defined as the change in acceleration in a unit of time) of the elevator car. Since the speed of motion of the car can be influenced with the control and thus also the maximum speed (e.g. by regulating the period of time the force is exerted on the car), the kinetic energy described by the equation (7) is in this way also directly affected.
  • control system does not need to support regeneration if it is desired to optimize energy consumption just by examining the potential energy.
  • opportunity for reducing energy consumption is halved compared to a regenerative system, and the range of variation of the potential energy of a non-regenerating system is thus in the above example: ⁇ E PP ⁇ CC ⁇ hg ⁇ ( ⁇ M ⁇ 1 + ⁇ R )/4 (16)
  • G genetic algorithms
  • FIG. 1 One prior-art method of allocating elevators based on the calls is to use genetic algorithms (GA) especially in large elevator systems. Genetic algorithms are described in e.g. patent publication FI 112856. The operating principle of genetic algorithms is also illustrated in the example of FIG. 1 , which is described in the following.
  • the travel routes of the elevators 10 of the system can be coded 15 to different chromosomes 11 , in which the position of one gene 17 defines an active call and the value of the gene 17 the elevator (elevator A or B) allocated to the call.
  • the elevator elevator A or B
  • a special direction gene can also be defined for a stationary elevator (e.g. on floor three), the value of which can be “upwards” or “downwards” 16 describing the starting direction of the elevator in question. The system starts moving e.g.
  • the function to be calculated is the sum C of the call times.
  • Each route alternative 11 is directed to the calculation of the cost function 14 , and the value C of the cist function obtained as a result is coded also as a cost gene 19 in the chromosome.
  • the chromosome results given by the algorithm at some time converge, in other words e.g. the chromosomes that give the smallest C are at the end selected for further processing.
  • the best or most suitable in terms of its viability are selected.
  • the routing of the elevators is controlled according to the genes of the chromosome selected and the passengers are thus allocated to the elevators.
  • the genetic algorithm operates on this principle continuously, because when a new active call becomes known to the elevator system, the chromosome 11 must be defined again and the aforementioned operations 18 must be applied to the new chromosome 11 .
  • the present invention utilizes genetic algorithms, but a new concept about the use of run types is attached to the foregoing method.
  • a number of different speed classes can be defined for the elevators, at which the elevators move.
  • three different classes can be defined: “fast”, “normal” or “slow”.
  • five different speed classes can be defined: “very slow”, “rather slow”, “normal”, “rather fast” and “very fast”.
  • the speed classes are defined such that at the standard speed of the elevator a run speed is set for the part of the elevator trip to be traveled, in other words the maximum travel speed of the elevator is restricted to this set value for speed for the whole elevator trip.
  • the classes can be defined to deviate from their nominal values (from the normal) e.g. by ⁇ 10 percent or by ⁇ 20 percent.
  • the maximum acceleration as well as the maximum permitted jerk can be defined, or on the other hand only one or two of the aforementioned magnitudes can be included in the profile.
  • a new type of extra gene is formed in the chromosome 11 of the GA system according to FIG. 1 in connection with each landing call.
  • This kind of chromosome is described by way of an example in FIG. 2 .
  • the new type of gene is called in this context the run speed gene or the run type gene of the elevator.
  • the run speed of the car normal run speed, decelerated run speed and accelerated run speed.
  • the operator of the elevator system can set these speeds in the control system.
  • the slow and fast run modes can be e.g. in the aforementioned manner under or over the nominal run speed by the amount of the desired percentage.
  • chromosome 11 has been picked for FIG. 2 from the set of chromosomes according to FIG. 1 .
  • Four active calls can be seen in chromosome 11 , for which elevator A 20 has been allocated to the up call given on floor two, also elevator A 22 to the down call given on floor four, elevator B 24 to the up call on floor five and also elevator B 26 to the down call given on floor 6 .
  • chromosome 11 contains a direction gene 16 concerning the stationary elevator on floor three.
  • the cost gene 19 contains two parts, the waiting time WT of the passengers and the energy consumption E R of the route.
  • the cost gene does not however restrict only these magnitudes, but instead the term of the calculated cost function can be some other magnitude to be optimized.
  • the different magnitudes can also be weighted in the cost function with the desired weighting coefficients.
  • a run type gene which determines how to drive to a floor according to each landing call, is connected to each call gene 20 , 22 , 24 , 26 .
  • the classes of the top speeds of these trips between floors can be seen in connection with each call gene.
  • a chromosome exactly according to FIG. 2 is selected for use by the control of the elevator system as the final result given by the genetic algorithm for an optimized route alternative.
  • the elevator A drives the first call 20 at slow maximum speed (according to run type gene 21 ), which ensures even and jerk-free travel for the car.
  • the elevator A continues towards floor four to collect call 22 .
  • the speed profile of the elevator and thus also of each elevator car is obtained for the use by the genetic algorithm.
  • more alternatives for allocating cars to each active call are obtained.
  • the top speed for different floor-to-floor heights can vary, not only does the travel time used by different route alternatives vary, but also the magnitude of the kinetic energy stored in the elevator on the route.
  • the forms of energy convert between the energy given by the power source, kinetic energy and potential energy, and some of the energy is consumed in losses and some is returned to the use of the system.
  • the invention is not limited to this conventional call system.
  • the present invention can apply also to a so-called destination floor call system, in which the user gives his/her destination floor call already in the lobby of the departure floor.
  • a destination floor call system can also be called a destination call system.
  • the elevator cars are allocated in this case to each passenger and not separately to each up-call or down-call as in a conventional system.
  • the basic idea of the invention is further applicable to double-deck and multi-deck elevator systems.
  • two or more elevator cars are respectively situated one on top of the other in the same elevator shaft such that the elevator cars disposed in one shaft together form a moveable fixed unit i.e. an elevator.
  • the distance between two elevator cars is dimensioned in this case to be the same as the distance between two floors.
  • the chromosome includes each elevator car separately as well as if necessary a direction gene for the specific elevator.
  • each chromosome, i.e. routing alternative is evaluated in the optimizer, in the model of the elevator system the “detached” elevator cars in the chromosome are first attached to those elevators to which they belong.
  • the cost function is calculated from the route indicated by the chromosome using this elevator situated in one elevator shaft with all its cars and hoisting machines.
  • the costs can be the same magnitudes as those mentioned above, in other words e.g. the call time, the waiting time or the change in the potential energy or in the kinetic energy of the elevator (i.e. the whole hoisting machine, not just one car).
  • the allocation method indicates for each call given the most suitable elevator car out of all the elevator cars.

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Applications Claiming Priority (3)

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FIFI20060214 2006-03-03
FI20060214A FI118260B (sv) 2006-03-03 2006-03-03 Hissystem
PCT/FI2007/000038 WO2007099197A1 (en) 2006-03-03 2007-02-16 Elevator system

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Cited By (13)

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US20080308361A1 (en) * 2007-06-12 2008-12-18 Nikovski Daniel N Method and System for Determining Instantaneous Peak Power Consumption in Elevator Banks
US20090216376A1 (en) * 2005-04-15 2009-08-27 Otis Elevator Company Group Elevator Scheduling With Advanced Traffic Information
US20110174580A1 (en) * 2007-07-12 2011-07-21 Mitsubishi Electric Corporation Elevator system
US20110209950A1 (en) * 2008-11-28 2011-09-01 Kone Corporation Elevator system
US20120111670A1 (en) * 2009-07-15 2012-05-10 Otis Elevator Company Energy savings with optimized motion profiles
US20120152655A1 (en) * 2010-12-15 2012-06-21 Valerio Villa Energy-efficient elevator installation
US20130056312A1 (en) * 2011-08-30 2013-03-07 Inventio Ag Energy settings for transportation systems
US20140124302A1 (en) * 2011-08-26 2014-05-08 Kone Corporation Elevator System
US20140284145A1 (en) * 2011-10-14 2014-09-25 Inventio Ag Elevator system with multiple cars
US20150166301A1 (en) * 2012-09-11 2015-06-18 Kone Corporation Elevator system
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HK1126745A1 (en) 2009-09-11

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